Cjs2_211 Copernicus Data Stores Modernisation

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Country: United Kingdom
Summary: Cjs2_211 Copernicus Data Stores Modernisation
GBT Ref No: 53819631
Deadline: 14 Jul 2021
Competition: ICB
Financier: Self Financed
Purchaser Ownership: -
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: JUN364384
Purchaser's Detail :

Purchaser : EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS (ECMWF)
European Centre for Medium-Range Weather Forecasts (ECMWF)
Shinfield Park
Reading
RG2 9AX
UK
Contact person : Procurement at ECMWF
E-mail : procurement@ecmwf.int
NUTS : UKJ11
Internet address(es)
Main address : https : //www.ecmwf.int/
Address of the buyer profile : http : //procurement.ecmwf.int

Email :procurement@ecmwf.int
URL :https://www.ecmwf.int/

Description :
ECMWF, as the Entrusted Entity for the Copernicus Climate Change Service (C3S) and the Copernicus Atmosphere Monitoring Service (CAMS) invites tenders for the modernisation of the software infrastructure supporting the implementation of the services and for the evolutive maintenance of the current Climate Data Store infrastructure and toolbox.

Title: CJS2_211 Copernicus Data Stores Modernisation
Published by: European Centre for Medium-Range Weather Forecasts (ECMWF)
Publication Date: 04/06/2021
Deadline Date: 14/07/2021
Deadline Time: 15:00
Notice Type: Contract Notice
Has Documents: No
Has ESPD: No
Abstract: Climate (CDS) and Atmosphere (ADS) Data Stores are the core infrastructures supporting the implementation of Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services, providing access to essential state-of-the-art data, tools, applications and other digital information. Currently in operation but looking forward to cope with new challenges, evolving demand and a changing technological environment, the underlaying infrastructure requires further modernisation taking onboard operational experience, user feedback, lessons learned, know-how and more advanced technologies. The improved version will be made more accessible to embrace open-source scientific software and ensure compatibility with state-of-the-art solutions, such as machine learning, data cubes and interactive notebooks. In summary, the goal of th...
Documents :